Note: The job is a remote job and is open to candidates in USA. Accelerate HC is a fast-growing, venture-backed software company focused on creating a modern operating system for communications service providers. The Data Migration Engineer will be responsible for managing customer data migrations from legacy systems to the company's platform, ensuring accuracy and completeness throughout the process.
Responsibilities
- Explore legacy source systems — databases, flat files, reports, APIs — to understand their structure, quality, and relationships in the context of the target data model
- Export source data across a range of access methods, including SQL, APIs, manual extracts, and database backups
- Transform exported data into the platform's standard format by authoring declarative, version-controlled mapping files that encode agreed business rules
- Execute migrations end-to-end on the internal migration platform: load, validate against target schemas, reconcile, and import to production
- Build and reuse mappings, templates, and validation rules so each migration is faster and more repeatable than the last
- Contribute engineering improvements to the migration tooling — validation rules, transforms, mapping updates — and raise larger needs to the platform engineering team
- Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover
- Document mapping specs, transformation logic, and data anomalies so migrations are auditable and repeatable
Skills
- 3–5+ years in data engineering, data migration, ETL, or a similar hands-on data role
- Strong SQL and ETL fundamentals — treating extract → transform → load as a deliberate methodology: staging, repeatable and idempotent loads, full vs. incremental loads, and validation and reconciliation at every stage
- Hands-on data-manipulation fluency across SQL, Python, JSON, or similar — querying, profiling, reshaping data, and debugging unfamiliar source schemas
- Experience extracting data from varied sources: relational databases, APIs, flat files, and backups
- AWS experience — particularly Athena — and depth in SQL-based systems
- A background in high-volume, structured, or legacy data environments — for example banking, legal software, payroll, large CRMs, or enterprise SaaS with financial modules
- A proven ability to transform messy, poorly documented data into clean, structured output, with a solid grasp of data quality, validation, reconciliation, and cleansing
- Client-facing communication skills — comfortable leading technical conversations directly with customers
- Comfort in fast-paced, ambiguous environments with shifting source systems, and a bias toward reusability and automation over one-off scripts
- A Bachelor's degree in Computer Science, Information Systems, Data or Software Engineering, or a related field — or equivalent work experience
- Familiarity with TypeScript/JavaScript (Node)
- Familiarity with OSS/BSS, telecom, or billing/CRM data models (subscribers, services, billing accounts) — or a demonstrated ability to ramp quickly on unfamiliar domain models
- Comfort using AI-assisted tooling to accelerate data exploration, mapping, and validation
- Experience building or extending an internal data platform or migration tooling
- Exposure to cutover and go-live operations: delta loads, reconciliation, rollback
- Experience collaborating with a separate platform or product engineering team
Benefits
- A flexible 25-day vacation policy and flexible working hours.
- Stock options.
- Group insurance and telemedicine.
- A life spending account and retirement savings plan.
- 100% remote work, company-wide.
Company Overview